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It is a general purpose one-class classification algorithm. As a development in the research area of Artificial Immune Systems (AIS), it is a negative selection algorithm, one of the earliest methods inspired by immune system. Negative selection algorithms are mainly based on the negative selection process in the thymus, in which immature T cells that recognize self cells are eliminated before the rest can mature and are deployed into the immune system. The implementation posted here uses real-valued representation although the algorithm of V-detector should apply to other data representations as long as the matching rule can be expressed as a threshold of some distance measure.
Update : 2025-03-07 Size : 588kb Publisher : nour12
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